Single source methods involve inpainting based on the undamaged pixels in the image. Traditional methods include interpolation and PDE or convolution based methods like Bertalmio's, Telea's and Oliveira's algorithms [1]}, [2]}, [3]}, but these methods only inpaint by looking at neighbouring pixels within each image. Exemplar-based inpainting matches patches in a specific order [4]}, but these methods use defined low-level patterns that do not capture semantic structure in the images. The Navier-Stokes [1]} inpainting algorithm uses ideas from classical fluid dynamics and is used as a baseline for our problem. It is deterministic and does not require training, but the method does not utilise or learn any prior knowledge of the data distribution. In addition, [6]} introduced an inpainting algorithm specifically for LANDSAT 7, which compared pre- and post-2003 images for scanline filling in multiple phases, and is adopted for use as one of the official LANDSAT 7 products. However, the data-engineering required for this method is extremely complicated and we are unable to reproduce it.
